journal article·2023-08Open access

Enzymatic Catalysis in Size and Volume Dual‐Confined Space of Integrated Nanochannel‐Electrodes Chip for Enhanced Impedance Detection of Salmonella

Yue Li, Xinyue Ma, Wenyue Zhu, Qiao Huang, Yameng Liu, Jinming Pan, Yibin Ying, Xiahong Xu, Yingchun Fu

Small· Volume 19· Issue 35

Abstract

Abstract Nanochannel‐based confinement effect is a fascinating signal transduction strategy for high‐performance sensing, but only size confinement is focused on while other confinement effects are unexplored. Here, a highly integrated nanochannel‐electrodes chip (INEC) is created and a size/volume‐dual‐confinement enzyme catalysis model for rapid and sensitive bacteria detection is developed. The INEC, by directly sandwiching a nanochannel chip (60 µm in thickness) in nanoporous gold layers, creates a micro‐droplet‐based confinement electrochemical cell (CEC). The size confinement of nanochannel promotes the urease catalysis efficiency to generate more ions, while the volume confinement of CEC significantly enriches ions by restricting diffusion. As a result, the INEC‐based dual‐confinement effects benefit a synergetic enhancement of the catalytic signal. A 11‐times ion‐strength‐based impedance response is obtained within just 1 min when compared to the relevant open system. Combining this novel nanoconfinement effects with nanofiltration of INEC, a separation/signal amplification‐integrated sensing strategy is further developed for Salmonella typhimurium detection. The biosensor realizes facile, rapid (<20 min), and specific signal readout with a detection limit of 9 CFU mL−1 in culturing solution, superior to most reports. This work may create a new paradigm for studying nanoconfined processes and contribute a new signal transduction technique for trace analysis application.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Nanopore and Nanochannel Transport Studies · Electrochemical Analysis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Biosystems Engineering and Food Science Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province Zhejiang University Hangzhou 310058 P. R. China

Department of Hematology The Fourth Affiliated Hospital Zhejiang University School of Medicine Yiwu 322000 P. R. China

State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐products Institute of Agro‐product Safety and Nutrition Zhejiang Academy of Agricultural Sciences Hangzhou 310021 P. R. China

References (57)

Show source-provided references
1. 10.3201/eid1701.P1110110.3201/eid1701.P11101 ↗
2. 10.1371/journal.pmed.100192310.1371/journal.pmed.1001923 ↗
3. 10.1111/1541-4337.1291310.1111/1541-4337.12913 ↗
4. 10.1016/j.tifs.2018.05.02010.1016/j.tifs.2018.05.020 ↗
5. 10.1007/s40820-021-00610-w10.1007/s40820-021-00610-w ↗
6. 10.1039/C6CS00693K10.1039/C6CS00693K ↗
7. 10.1021/acs.jafc.1c0367510.1021/acs.jafc.1c03675 ↗
8. 10.1016/j.trac.2020.11591510.1016/j.trac.2020.115915 ↗
9. 10.1021/jacs.2c0486210.1021/jacs.2c04862 ↗
10. 10.1002/smll.20200283610.1002/smll.202002836 ↗
11. 10.1002/smll.20220527410.1002/smll.202205274 ↗
12. 10.1126/sciadv.abe992410.1126/sciadv.abe9924 ↗
13. 10.1002/smll.20210501910.1002/smll.202105019 ↗
14. 10.1002/adma.20190148310.1002/adma.201901483 ↗
15. 10.1021/acs.nanolett.2c0094010.1021/acs.nanolett.2c00940 ↗
16. 10.1002/smll.20220192510.1002/smll.202201925 ↗
17. 10.1021/nn502678t10.1021/nn502678t ↗
18. 10.1002/smll.20210166510.1002/smll.202101665 ↗
19. 10.1002/smll.20180450810.1002/smll.201804508 ↗
20. 10.1021/jacs.9b0008610.1021/jacs.9b00086 ↗
21. 10.1007/BF0335370610.1007/BF03353706 ↗
22. 10.1038/s41565-020-0652-210.1038/s41565-020-0652-2 ↗
23. 10.1039/D1CS00789K10.1039/D1CS00789K ↗
24. 10.1021/acsnano.6b0206210.1021/acsnano.6b02062 ↗
25. 10.1021/acs.analchem.1c0128710.1021/acs.analchem.1c01287 ↗
26. 10.1002/anie.20220401210.1002/anie.202204012 ↗
27. 10.1021/acscatal.0c0059110.1021/acscatal.0c00591 ↗
28. 10.1002/anie.20181306010.1002/anie.201813060 ↗
29. 10.1002/anie.20220075510.1002/anie.202200755 ↗
30. 10.1002/anie.20220137810.1002/anie.202201378 ↗
31. 10.1002/adfm.20150342810.1002/adfm.201503428 ↗
32. 10.1002/anie.20190107810.1002/anie.201901078 ↗
33. 10.1021/acsnano.2c0015710.1021/acsnano.2c00157 ↗
34. 10.1021/acssensors.7b0087310.1021/acssensors.7b00873 ↗
35. 10.1021/ac501983a10.1021/ac501983a ↗
36. 10.1111/1541-4337.1266210.1111/1541-4337.12662 ↗
37. 10.1038/s41467-021-21507-710.1038/s41467-021-21507-7 ↗
38. 10.1021/acs.nanolett.9b0382410.1021/acs.nanolett.9b03824 ↗
39. 10.1007/s40820-019-0340-710.1007/s40820-019-0340-7 ↗
40. 10.1021/acs.nanolett.9b0506610.1021/acs.nanolett.9b05066 ↗
41. 10.1021/acs.analchem.9b0364410.1021/acs.analchem.9b03644 ↗
42. 10.1021/ac402550f10.1021/ac402550f ↗
43. 10.1016/j.molcatb.2009.01.00310.1016/j.molcatb.2009.01.003 ↗
44. 10.1103/PhysRevLett.112.02830110.1103/PhysRevLett.112.028301 ↗
45. 10.1016/j.bios.2017.07.03510.1016/j.bios.2017.07.035 ↗
46. 10.1002/adfm.20140416010.1002/adfm.201404160 ↗
47. 10.1021/acs.analchem.8b0515410.1021/acs.analchem.8b05154 ↗
48. 10.1021/acsnano.7b0226710.1021/acsnano.7b02267 ↗
49. 10.1016/j.trac.2022.11689710.1016/j.trac.2022.116897 ↗
50. 10.1080/10408398.2018.151662310.1080/10408398.2018.1516623 ↗
51. 10.1016/j.ijfoodmicro.2016.12.02410.1016/j.ijfoodmicro.2016.12.024 ↗
52. 10.1016/j.bios.2022.11443710.1016/j.bios.2022.114437 ↗
53. 10.1021/acs.analchem.7b0462810.1021/acs.analchem.7b04628 ↗
54. 10.3390/foods1123388710.3390/foods11233887 ↗
55. 10.1016/j.bios.2019.11133310.1016/j.bios.2019.111333 ↗
56. 10.1039/D0LC00290A10.1039/D0LC00290A ↗
57. 10.1016/j.snb.2022.13230110.1016/j.snb.2022.132301 ↗